A text mining approach to automated healthcare for the masses

Automated Healthcare System using Text Mining: A Survey

“…As shown in Figure 1. [7], Automated Healthcare mostly involves people using wearables who can communicate with machines in the cloud using their handheld devices [8]. Such machines in the cloud have enormous computing power and handheld devices like a Smartphone can be used to communicate with them.…”

“…In the long run we can also contemplate and consider the possibility of appointing a physician for routinely checking the diagnosis decisions and information available in the corpus related to complex cases where knowledge isn't readily available in the corpus. [7] Using a cloud infrastructure to store health related information is advantageous because the data can be aggregated in such ways that it can't be personally identifiable. Such data is used to perform analytics, gain some knowledge from the data and draw conclusions which can be applied to patients suffering from similar conditions [9].…”

“…All the details about the patients, their symptoms, diagnosis etc is stored on a discharge sheet in an accurate manner and such discharge sheets are maintained by the hospitals and clinics. Figure 2 from [7] shows a sample discharge sheet where all the personally identifiable information is removed. The idea is to use the expertise which is captured in the discharge sheet for diagnosis without any manual intervention.…”

“…Once the discharge sheets and the free access PMC has been converted into a corpus of documents we can perform text mining on this available data set efficiently. [7] Text mining can be used to determine the relative frequencies of words in the corpus and generate a word cloud as shown in Figure 3. The bigger the size of the word, the more frequent it will be in the word cloud.…”

“…The number of discharge sheets available is less for this approach hence it is currently a work in progress. [7] V. CHALLENGES…”